code: def __init__(
      self,
      src_ten,
      tgt_ten,
      emb_dim,
      batch_size,
      smooth_val,
      lr_ph,
      beta,
      vocab_size,
  ):
      self.src_ten = src_ten
      self.tgt_ten = tgt_ten
      self.emb_dim = emb_dim
      self.batch_size = batch_size
      self.smooth_val = smooth_val
      self.beta = beta
      self.lr_ph = lr_ph
      self.vocab_size = vocab_size
  
      # Placeholders
      self.src_ph = tf.placeholder(
          name="src_ph", shape=[None], dtype=tf.int32
      )
      self.tgt_ph = tf.placeholder(
          name="tgt_ph", shape=[None], dtype=tf.int32
      )
  
      # Build Graph
      self._build_network_graph()
      ortho_weight = self._build_ortho_graph(self.W)
      self.assign_weight = self._assign_ortho_weight(ortho_weight)
      self.map_opt = None
      self.W = None
  
imports: from __future__ import print_function, division
  import io
  import os
  import time
  import numpy
  import scipy
  import tensorflow
label_desc: Use image node_id 1 to create a new Generator object  with example: obj = Generator(src_ten, tgt_ten, emb_dim, batch_size, smooth_val, lr_ph, beta, vocab_size)